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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction NeurIPS 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Learning Affects Trust: Design Recommendations and Concepts for Teaching Children—and Nearly Anyone—about Conversational Agents AAAI 2023 Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection ICCV 2023 Learning Analytical Posterior Probability for Human Mesh Recovery CVPR 2023 Learning and Aggregating Lane Graphs for Urban Automated Driving CVPR 2023 Learning and Planning under Uncertainty for Conservation Decisions AAAI 2023 Learning Antidote Data to Individual Unfairness ICML 2023 Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning CVPR 2023 Learning Bottleneck Concepts in Image Classification CVPR 2023 Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning AAAI 2023 Learning by Hallucinating: Vision-Language Pre-Training With Weak Supervision WACV 2023 Learning Causal Effects on Hypergraphs (Extended Abstract) IJCAI 2023 Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling CLeaR 2023 Learning Chemical Rules of Retrosynthesis with Pre-training AAAI 2023 Learning Concise and Descriptive Attributes for Visual Recognition ICCV 2023 Learning Conditional Granger Causal Temporal Networks CLeaR 2023 Learning Conflict-Noticed Architecture for Multi-Task Learning AAAI 2023 Learning Constrained Structured Spaces with Application to Multi-Graph Matching AISTATS 2023 Learning Control by Iterative Inversion ICML 2023 Learning Controllable Adaptive Simulation for Multi-resolution Physics ICLR 2023 Learning Control-Oriented Dynamical Structure from Data ICML 2023 Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees AAAI 2023 Learning Co-Speech Gesture for Multimodal Aphasia Type Detection EMNLP 2023 Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples ICCV 2023